Continual Learning for Natural Language Generation in Task-oriented Dialog Systems

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In this PhD manuscript, we explore optimisation phenomena which occur in complex neural networks through the lens of

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Dynamic aperture is an important concept for the study of non-linear beam dynamics in circular accelerators. It describes the extent of the phase-space region where a particle's motion remains bounded over a given number of turns. Understanding the feature ...

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This paper presents a comparison of machine learning (ML) methods used for three-dimensional localization of partial discharges (PD) in a power transformer tank. The study examines ML and deep learning (DL) methods, ranging from support vector machines (SV ...

Continual Learning for Natural Language Generation in Task-oriented Dialog Systems

Chattez avec Graph Search

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Partial discharge localization in power transformer tanks using machine learning methods